The first and most obvious is the 800 pound gorilla that is Nvidia's CUDA ecosystem. Today, a majority of developers still rely on CUDA for HPC and AI workloads. While AMD has spent a lot of ...

In the years since, Nvidia has added developer tools and AI-specific microlibraries through CUDA X, extending its software lead. Today, AMD has its own GPU software platform, and it makes GPUs ...

It is often mentioned that the competitive "moat" that keeps Nvidia's advantage in the AI space is not so much its GPU hardware, but its CUDA and associated ... Follow him on X @ryanshrout.

As the AI gold rush takes off ... During its most recent quarter reported this week, the Dallas-based Nvidia Elite partner said revenue grew 51 percent year over year to $63.9 million.

Nvidia is constructing ... Nvidia's Ethernet-based Spectrum-X family of switches and superNICs to provide peak FP64 performance of 69 (vector) to 137 (matrix) petaFLOPS for scientific workloads or 8 ...

HPE Senior Director Rupin Mohan this week on LinkedIn confirmed reports that HPE has won a $1 billion deal to supply Elon Musk’s X, formerly Twitter, with AI servers. Neither company has commented on ...

D eepSeek made quite a splash in the AI industry by training its Mixture-of-Experts (MoE) language model with 671 billion ...

Nvidia has optimized its AI development toolchain for DGX and OVX platforms, much like the company optimized its CUDA software for its GPUs. Similarly, AGX is the native, optimized robotics ...

Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for ...

Nvidia's AI foundation arguably began in 2006 when it launched its CUDA parallel computing model that now contains hundreds of software libraries and AI models, showing it has a significant ...

Nvidia Corporation is poised for >70% YoY growth in Q4 FY25, driven by AI dominance and a $300B healthcare opportunity. Nvidia leverages AI platforms like BioNeMo to disrupt drug discovery ...